Скачать или смотреть Session 3: Introduction to Deep Learning Models and Applications

In this session, Golnaz Mesbahi delivered an introductory lecture on deep learning models in healthcare, covering fundamental concepts and applications of neural networks, including their use for handling large datasets and complex data problems. She explained the difference between regression and classification problems, and various aspects of neural network training and evaluation, including the importance of choosing appropriate loss functions, weights, and hyperparameters, while also discussing different neural network architectures like CNNs and RNNs for processing temporal data. The lecture included an overview of perceptrons, activation functions, and the training process of neural networks using gradient descent, and concluded with an overview of generative models and their applications in medical imaging, along with a discussion of the role of medical expertise in defining machine learning problems and the potential benefits and risks of using these models in healthcare.